Researchers using brain MRI data have a wide range of analysis tools to model brain structure and function. This diversity of analytical approaches means there are many possible variations of the same imaging result (Bowring et al., 2019). Analyzing a dataset with a single approach can thus be misleading. Alternatively, a multiverse analysis can be used, where multiple sets of results are obtained from running different pipelines on the same dataset. Such a setting produces multiple outputs in the form of a statistical map. Meta-analysis approaches can then help to effectively extract a unique result from these maps.